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 Ning Yu  - Ph. D. Candidate

 

 Email:      nyu AT cs.  ucf.  edu

 

 Address: Department of Computer Science
                 University of Central Florida
                 Eng 3, Room 250
                 4000 Central Florida Blvd.
                 Orlando, FL 32816-2362

 

I am a Ph.D. Candidate supervised by Dr. Kien A. Hua in Computer Science Department of University of Central Florida.  I am a member of Database System Group. My current research interests are Indexing & Retrieval in Multimedia Database, Image Processing, Machine Learning, and Human Computer Interaction.

 

 

Research

Interests:

Indexing and Relevance Feedback Retrieval in Multimedia Database;

Machine Learning;

Medical Image Processing & Applications;

Affective Computing & Human-Computer Interface

 

 

             Projects:

Client-side Image Retrieval in mobile environment                                                     Nov. 06 ~ Feb. 07

A system designed to execute image retrieval on the client side mobile device. The system works differently from the traditional client-server mode: The mobile device process and responds to the user’s relevance feedback independently instead of communicate with the server; till the final step for the final result, the retrieval request is sent to the server for final result.  The new system can dramatically decrease the amount of data exchanged between the server and the client and enhance the scalability of the server. The search process is also simplified which improves the user search experience. Participant: myself; Language: Java, C++, and Matlab; Contribution: Designed the system, Data collection, Algorithm design, and Analysis; paper published in ICME’07 and a journal version under preparation

High Dimension Reduction, Indexing and Optimization                                                 Aug. ~ Dec. 06

In this project, we designed an efficient relevance feedback system which process the user’s relevance feedback in the main memory to save the user’s waiting time. Our new dimension reduction technique has been used to reduce the dimensionality of multimedia data to fit into the main memory. Participant: 3; Language: Java, C++ and Matlab; Contribution: System design and implementation, Algorithm design, Data collection, GUI design and analysis; paper published in CIVR’07 and a journal version under preparation.

Query Decomposition                                                                                                           Jul. 05 ~ Apr. 06 

Image Retrieval. Design the system for bridging the semantic gap; in other words, improve the user satisfaction on the retrieval result, by decomposing query and exploring distinct neighborhoods. While the other existing image retrieval systems are stopping at a local optimal neighborhood, the Query Decomposition technique explores all the relevant neighborhoods through the whole data space. Participant: 2; Language: Java, C++, and Matlab; Contribution: System design and implementation: Data analysis, Algorithm design and implementation, System tuning; paper published in ICDE’06 and a journal version under review.

UCF EECS Overhead Managing system                                                                               May 05 ~ Now

Design, implement and maintain the system for UCF school of EECS’s overhead management and faculties’ web checking. The faculties can logon to the website to view their funding account balance, and the school can check each department’s overhead and each faculty’s balance. The system is based on ASP, SQL server, and MS Reporting Services.  The system was accomplished starting from sketch. Participant: myself; Language: Visual Studio .Net, SQL server, ASP; Contribution: accomplish the whole system: SQL database relation design and implementation, ASP and MS Reporting Services website design and implementation; I am maintaining the system and adding new functionalities upon request.

Affective Computing                                                                                                            Aug. 03 ~ Aug. 04

Analyze and recognize human’s affective status from physical signals. The final system can recognize driver’s emotion status based on his blood pressure, heart beat and perspiration etc. Participant: 6; Language: VC++; Contribution: Data analysis, Algorithm design; paper published in VLC’03

Cherry…the Little Red Robot with a Mission                                                                Aug. 02 ~ Aug. 03

An intelligent robot that can talk to people and help people to deliver files between offices. Participant: 4; Language: VC++; Contribution: GUI design, Data analysis; paper published

 

 

Professional      Activities:

1.        Reviewer of Transaction of Multimedia, Special Issue of Integration of Context and Content for Multimedia Management

2.        Reviewer of journal of NDT&E

3.        Reviewer of ACM Multimedia 2005

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Education

2002.8 – present       Ph.D. in Computer Science - University of Central Florida, Orlando, FL, USA
                                                                                                       School of EECS, Computer Science Dept.

2002.8 – 2005.5        M.S. in Computer Science -   University of Central Florida, Orlando, FL, USA
                                                                                                       School of EECS, Computer Science Dept.

1996.8 – 2000.7        B.S. in Computer Science -   Tsinghua University, Beijing, China

                                                                                          Computer Science & Technology Dept.

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Selected Publications

1.      Ning Yu, Kien A. Hua, and Hao Cheng, "Dynamic Directional Navigation in Content Based Image Retrieval". In Proc. on International Conference on Multimedia & Expo (ICME), June 23-16, 2008.

2.      Ning Yu, Khanh Vu, and Kien A. Hua. “An In-Memory Relevance Feedback Technique for High-Performance Image Retrieval Systems”. In Proceedings of ACM International Conference on Image and Video Retrieval (CIVR), 2007 (Oral Presentation, acceptance rate: 22/191 = 11.5%).

3.      Ning Yu, Kien A. Hua, and Danzhou Liu. “Client-side Relevance Feedback Approach for Image Retrieval in Mobile Environment”. In Proceedings of International Conference on Multimedia & Expo (ICME), 2007.

1.      Kien A. Hua, Ning Yu, and Danzhou Liu. "Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval". In Proceedings of the 22nd International Conference on Data Engineering (ICDE 2006) [PDF] [Presentation] (Acceptance rate: 89/456 = 19.5%).

2.      Danzhou Liu, Kien A. Hua, Khanh Vu, and Ning Yu. "Fast Query Point Movement Techniques with Relevance Feedback for Content-based Image Retrieval". In Proceedings of the 10th International Conference on Extending Database Technology (EDBT 2006) (Acceptance rate: 56/355 = 16%).

3.      Khanh Vu, Kien A. Hua, and Ning Yu. “A Linear System of Equations with Constraints for Multipoint Queries in Image Retrieval”. In Proceedings of the 12th International Conference on Multi-Media Modeling (MMM 2006), pages 256-263.

4.      Christine L. Lisetti, Fatma Nasoz, and Ning Yu. “Visualizing User's Emotions for Enhanced Human Computer Interaction”. In Proceedings of the International Conference on Visual Languages and Computing 2003, (Miami, FL, September 2003).

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TA

1.                Parallel & Distributed Databases  (Graduate Level)   Spring 2005

2.                Object-Oriental Programming with Java    Summer 2004, Fall 2004

3.                System Software    Fall 2002, Spring 2003

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Other

 

Beijing Olympic 2008

 

Conferences

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Last modified on Apr. 06th, 2007